Our product is a fraud-detection platform, specially designed for betting business. We started 1.5 years ago with a team created from scratch, dedicated processes and technology stack. Currently we process, store and analyze over half a billion events per day using ML, statistical, time-series and graph algorithms in real-time. Right now we process, store and analyze 500 million events per day and are going to reach two billion events in a
You will have a direct impact on:
— High-load system;
— Real-time prediction;
— Fraud detection system.
— Work directly with data scientists helping them to deploy real-time algorithms and meet latency and throughput requirements, create services, that provide real-time feature calculation, caching, precalculation etc;
— Optimize and improve of core system modules;
— Develop and optimize of the historical data warehouse and internal tools for models training and validation;
— Participate in project architecture and design creation, code review, CI/CD;
— Test new approaches by creating PoC, performing benchmarks;
— Ad-hoc project’s tasks according to business needs.
— Strong knowledge of Python 3, including asyncio;
— Software Design knowledge: OOD, OOP, Design patterns, Microservices;
— Experience in building distributed systems based on services;
— Experience with 10K+ TPS services, SQL databases with more than billion rows;
— Knowledge of both SQL and NoSQL databases (PostgreSQL is preferred), including core concepts of database engines (B-Tree, locks, MVCC, write-ahead logging, partitioning, sharding, columnar storage);
— Desire to write algorithms with both O(1) time and memory complexity;
— Experience with message queues;
— Experience with applications performance tuning;
— Experience with containers and understanding of principles of building fault-tolerant container-based systems;
— High level of personal responsibility, readiness to commit on projects instead of tasks;
— Technical English;
— Knowledge sharing abilities.
— Programming contests achievements;
— Experience in code review, CI/CD, automated testing;
— Experience in product launching;
— Experience in building/launching ML systems;
— Experience with Kafka;
— Knowledge of Kubernetes;
— Experience with MSSQL.
— Medical insurance/Sport compensation;
— Sport club participation (football, running, basketball or swimming clubs);
— 100% paid sick leaves;
— 20 working days of paid vacation.
— Competitive salary and сonstant encouragement for your efforts and contribution;
— Bonuses according to company’s policy;
— Welfare (financial support in critical situations);
— Gifts for significant life events (marriage, childbirth).
— Individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops, etc.;
— Free corporate library;
— Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;
— A world-class team of T-shaped skilled professionals that share knowledge and support each other.
— Corporate parties and events (Pub Quiz, Carquest, bowling championships, etc.);
— PM Foundation activities (social responsibility events);
— Weekly events aimed at culture, arts, soft skills development.